AIMC Topic: Keratoconus

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[Artificial Intelligence for the Development of Screening Parameters in the Field of Corneal Biomechanics].

Klinische Monatsblatter fur Augenheilkunde Dec 5, 2019
Machine learning and artificial intelligence are mostly important if data analysis by knowledge-based analytical methods is difficult and complex. In such cases, combined analytical and empirical approaches based on AI are also meaningful. The develo...
Mass Screening Keratoconus Diagnostic Techniques, Ophthalmological Humans Artificial Intelligence Cornea
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Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study.

BMJ open Sep 27, 2019
OBJECTIVE: To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT).
Sensitivity and Specificity Disease Progression Case-Control Studies Deep Learning Keratoconus Tomography, Optical Coherence Humans Retrospective Studies
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A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening.

Seminars in ophthalmology Jun 9, 2019
Various machine learning techniques have been developed for keratoconus detection and refractive surgery screening. These techniques utilize inputs from a range of corneal imaging devices and are built with automated decision trees, support vector ma...
Humans Machine Learning Diagnosis, Computer-Assisted Mass Screening Keratoconus Refractive Surgical Procedures Patient Selection
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Computer aided diagnosis for suspect keratoconus detection.

Computers in biology and medicine Apr 23, 2019
PURPOSE: To develop a stable and low-cost computer aided diagnosis (CAD) system for early keratoconus detection for clinical use.
Corneal Topography Male Diagnosis, Computer-Assisted Keratoconus Humans Female Adult Neural Networks, Computer Machine Learning
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KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks.

Computational intelligence and neuroscience Jan 23, 2019
Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this diseas...
Corneal Topography Pattern Recognition, Automated Algorithms Cornea Keratoconus Humans Neural Networks, Computer
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Keratoconus severity identification using unsupervised machine learning.

PloS one Nov 6, 2018
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from ...
Male Severity of Illness Index Unsupervised Machine Learning Principal Component Analysis Keratoconus Humans Aged Algorithms Dilatation, Pathologic Female Cornea
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Tomography Corneal Pachymetry Slit Lamp Microscopy Adult Case-Control Studies Corneal Topography Humans Sensitivity and Specificity Cornea Diagnostic Techniques, Ophthalmological ROC Curve Dilatation, Pathologic Male Keratomileusis, Laser In Situ Keratoconus Artificial Intelligence Middle Aged Retrospective Studies Female
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Reconstruction of highly and extremely aberrated wavefront for ocular Shack-Hartmann sensor using multi-task Attention-UNet.

Experimental eye research Jun 1, 2025
In certain ocular conditions, such as in eyes with keratoconus or after corneal laser surgery, Higher Order Aberrations (HOAs) may be dramatically elevated. Accurately recording interpretable wavefronts in such highly aberrated eyes using Shack-Hartm...
Keratoconus Corneal Topography Attention Corneal Wavefront Aberration Aberrometry Humans Cornea Refraction, Ocular Deep Learning
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Using Artificial Intelligence for an Efficient Prediction of Outcomes of Deep Anterior Lamellar Keratoplasty (DALK) in Advanced Keratoconus.

Translational vision science & technology May 1, 2025
PURPOSE: To identify and analyze clinical risk factors and imaging parameters influencing the outcomes of deep anterior lamellar keratoplasty (DALK) for advanced keratoconus (KC) using an artificial intelligence (AI) model.
Young Adult Adult Cornea Artificial Intelligence Female Risk Factors Humans Treatment Outcome Male Keratoconus Visual Acuity Middle Aged Corneal Transplantation Adolescent
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Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.

Translational vision science & technology Dec 2, 2024
PURPOSE: Eye rubbing is considered to play a significant role in the progression of keratoconus and of corneal ectasia following refractive surgery. To our knowledge, no tool performs an objective quantitative evaluation of eye rubbing using a device...
Algorithms Deep Learning Wearable Electronic Devices Support Vector Machine Humans Artificial Intelligence Machine Learning Keratoconus Massage
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